KPI Mining Solutions Tech Stack

Stochastic mine planning and orebody modeling software

Mining St-laurent, Quebec 11–50 employees Founded 2002 Self-Owned

KPI Mining builds optimization and simulation software for mining operations, with a tech stack anchored in Python, Databricks, Spark, and Snowflake. The company is mid-stage in a cloud transformation (Azure + AWS adoption, legacy data migration, data fabric modernization underway) while expanding into managed data science and generative AI services. Senior-heavy hiring in data roles signals engineering depth needed to support both core mining algorithms and the new analytics-as-service vertical.

Tech Stack 43 technologies

Core StackPython Snowflake dbt Apache Airflow Dagster Databricks Apache Spark Apache Flink Docker SQL Server HubSpot Salesforce Power BI Power Query AWS SAS Scala Java Azure Git UNIX PowerPoint Power BI Desktop DAX SQL Fabric Excel SharePoint R Spark SQL+11 more

What KPI Mining Solutions Is Building

◆Challenges

Cloud-based digital evolution
Modernizing data infrastructure
Migrating legacy data
Optimization opportunities across business functions
Integration with existing tools
Migration to cloud
Data integration from multiple sources
Ensuring data accessibility and reliability
Leveraging cloud investments
Meeting project deadlines and budgets

▲Active Projects

Data fabric modernization
Data integration from multiple sources
Cloud transformation strategy
Implementation of commercial solution integrated with existing tools
Migration to cloud
Supporting software solution development
Legacy data migration
Managed data science services development
Sentiment analysis model development
Generative ai solution development

Hiring Activity

Decelerating20 roles · 3 in 30d

Department

Data

Sales

Engineering

Ops

Seniority

Senior

Director

Mid

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About KPI Mining Solutions

KPI Mining develops software and services for mining companies focused on mine planning and orebody modeling. The platform uses stochastic simulation (Monte Carlo, geostatistics) and simultaneous optimization to help operators model extraction sequences, set cut-off grades, and manage production risk. Founded in 2002 and headquartered in Quebec, the company operates as a self-owned, 11–50-person firm serving the global mining industry. Current work spans legacy system migration, data integration across multiple sources, and expansion into managed data science and AI capabilities.

HeadquartersSt-laurent, Quebec

Company Size11–50 employees

Founded2002

Hiring MarketsCanada

Frequently Asked Questions

What tech stack does KPI Mining use?

Python, Databricks, Spark, Snowflake, dbt, Apache Airflow, Dagster, Azure, AWS, SQL Server, R, SAS, and Power BI for analytics and reporting.

What is KPI Mining working on?

Cloud migration strategy, data fabric modernization, legacy data migration, managed data science services, sentiment analysis, and generative AI solution development alongside core mine planning software.